A human expert is arranged to make the person identification system timely adapt to the dynamic environment.
Although the feedback is the golden standard for improving the model performance in our method, it is unnecessary to give feedback for all the instances. Too much feedback will increase the burden of the human expert, whereas too little feedback can be not enough to improve the model. Intuitively, instances that are more likely to be misidentified require more feedback. We leverage uncertainty [1]} to evaluate the necessity of feedback for the instance. The instance with higher uncertainty is more likely given feedback by the human.
